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Affinity Workshop
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Learning Abstract World Models for Value-preserving Planning with Options
Rafael Rodriguez Sanchez · George Konidaris
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Workshop
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Sat 6:20
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Causal Dynamics Learning for Task-Independent State Abstraction
Peter Stone
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Workshop
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Learning How to Create Generalizable Hierarchies for Robot Planning
Naman Shah · Siddharth Srivastava
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Workshop
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METRA: Scalable Unsupervised RL with Metric-Aware Abstraction
Seohong Park · Oleh Rybkin · Sergey Levine
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Workshop
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Sat 6:55
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Learning Abstract World Models for Value-preserving Planning with Options
Rafael Rodriguez Sanchez · George Konidaris
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Workshop
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Sat 7:50
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Geometry of abstract learned knowledge in deep RL agents
James Mochizuki-Freeman
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Workshop
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Learning Generalizable Symbolic Options for Transfer in Reinforcement Learning
Rashmeet Kaur Nayyar · Shivanshu Verma · Siddharth Srivastava
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Poster
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Tue 15:15
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Accelerating Monte Carlo Tree Search with Probability Tree State Abstraction
Yangqing Fu · Ming Sun · Buqing Nie · Yue Gao
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Workshop
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Does Hierarchical Reinforcement Learning Outperform Standard Reinforcement Learning in Goal-Oriented Environments?
Ziyan Luo · Yijie Zhang · Zhaoyue(Rebecca) Wang
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Poster
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Tue 15:15
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Systematic Visual Reasoning through Object-Centric Relational Abstraction
Taylor Webb · Shanka Subhra Mondal · Jonathan D Cohen
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Poster
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Tue 15:15
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Comparing Causal Frameworks: Potential Outcomes, Structural Models, Graphs, and Abstractions
Duligur Ibeling · Thomas Icard
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Workshop
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Continual Learning and Out of Distribution Generalization in a Systematic Reasoning Task
Mustafa Abdool · Andrew Nam · James McClelland
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